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Arizona State University's Bachelor of Science in Computer Science is designed for students interested in the design of computer systems, the development of computational processes for problem-solving, and the efficient transfer and transformation of information. The program focuses on enhancing software and system quality, security, performance, and usability, while bridging computer science with fields like engineering, science, and beyond.
Curriculum Overview
The program provides a strong foundation in both theoretical and applied computer science. Students begin with core courses in:
Programming
Data Structures and Algorithms
Computer Organization
Operating Systems
They also explore theoretical foundations such as formal languages and automata theory, along with essential mathematics coursework—including calculus and discrete mathematics—to develop critical analytical and problem-solving skills.
Concentrations
Students have the option to tailor their degree by choosing a concentration that aligns with their interests and career goals. Key concentrations include:
Software Engineering
Focuses on the design, development, and maintenance of reliable software systems using engineering principles and best practices.
Cybersecurity
Emphasizes building secure and dependable computing systems. ASU is recognized as a National Center of Academic Excellence in Information Assurance Education and Research by the NSA and Department of Homeland Security, highlighting its strength in cybersecurity education.
Accreditation
The B.S. in Computer Science at ASU is accredited by the Computing Accreditation Commission of ABET, a testament to the program’s high standards in computing education and professional preparation.
This program is ideal for students seeking a comprehensive and forward-looking education in computer science, with opportunities to specialize and contribute to a fast-changing digital world.
ASU emphasizes hands-on learning experiences, providing computer science students with numerous opportunities to apply their knowledge beyond the classroom:
Capstone Project:
In their senior year, students participate in a capstone project that involves designing and implementing a software system, allowing them to apply their accumulated knowledge to real-world problems.
Research Opportunities:
Students are encouraged to engage in research projects under the guidance of faculty members, contributing to advancements in areas such as artificial intelligence, cybersecurity, and data science.
Student Organizations:
ASU hosts various student organizations that enhance learning and foster community among computer science students, including:
Association for Computing Machinery (ACM): Provides resources and networking opportunities for students interested in computing.
Software Developers Association (SoDA): Focuses on software development practices and projects.
Women in Computer Science (WiCS): Supports and promotes the involvement of women in computing fields.
These organizations offer workshops, guest lectures, hackathons, and collaborative projects, enabling students to enhance their skills and connect with professionals.
ASU provides robust support to ensure computer science graduates are well-prepared for their careers:
Employability:
Graduates of the Computer Science program have strong employment prospects, with many securing positions at leading technology companies, startups, and research institutions. The program's emphasis on both theoretical foundations and practical applications equips students with the skills and experience sought by employers in the tech industry.
Career Services:
The Fulton Schools of Engineering Career Center offers a range of services to assist students in their career development, including:
Career Fairs and Networking Events: Facilitates connections between students and potential employers.
Workshops and Seminars: Covers topics such as resume building, interview preparation, and job search strategies.
Internship and Co-op Programs: Provides opportunities for students to gain practical experience in professional settings.
By integrating rigorous academics with practical experiences and comprehensive career support, the B.S. in Computer Science program at ASU prepares students for successful transitions into the professional world.
SAT/ACT Requirements: Applicants must also meet at least one of the following: Top 25% in high school graduating class 3.00 GPA in competency courses (4.00 = "A") ACT: 22 (24 non-residents) SAT: 1120 (1180 non-residents)English Language Proficiency Details- https://admission.asu.edu/apply/international/undergrad/english-proficiencyYou can apply through Common App or ASU's application for admissionRecommendations: School Report Required, Final Report Required, Teacher Evaluation(s): Not Applicable, Other Evaluation(s): Not ApplicableAdmission Requirements: ASU Admission Requirements: Freshman applicants with a high school diploma and fewer than 12 post-high school college credits are eligible for admission if they meet the following: English: 4 years (composition/literature-based) Math: 4 years (including Algebra I, Geometry, Algebra II, and one higher-level course) Lab Science: 3 years (from biology, chemistry, earth science, integrated sciences, or physics) Social Science: 2 years (including 1 year of American history) Second Language: 2 years (same language) Fine Arts/CTE: 1 yearWriting Requirements: Common App personal essay- Optional, College questions- There are no writing questions for this college. Writing Supplement- This college does not use a writing supplement for any additional writing requirements.SAT & ACT Codes to sent scores: SAT: 4007 ACT: 0088Career Pathway:
Software Engineering: DeveloperFull-Stack EngineerMobile App Developer
AI & Data Science: Machine Learning EngineerData ScientistAI Researcher
Cybersecurity & Cloud: Cybersecurity AnalystCloud EngineerEthical Hacker
Finance & Business Tech: Quantitative AnalystFintech DeveloperBlockchain Specialist
Product & Management: Product ManagerTechnical Program Manager
Entrepreneurship: Startups and innovation
Further Studies: MS or PhD in AIcybersecurityor data science for research rolesMBA for leadership and management positions
Long-Term Growth: Engineering: Software Engineer → Tech Lead → CTO
Data & AI: Data Scientist → Head of AIManagement: Product Manager → VP of Engineering
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